Introduction

The economy is something that is rapidly evolving and is hard to keep track of. In order to understand how the economy is constantly changing, we chose to focus our question on how global development affects certain factors, such as student populations, employment rates, and CO2 emissions. The dataset we used to answer our questions was data published by World Bank, and it will allow us to gain a better understanding of how economic development affects said factors.

Summary Information

Our dataset provides many interesting observations based on the variables it contains. Out of the 35 in our dataset, the country that produced the most CO2 emissions was Trinidad and Tobago. Regarding employment rate, Solomon Islands had the highest female employment rate of all the countries, while had the highest male employment rate. Additionally, United States had the highest average income out of all the countries. As for education, India had the most primary and secondary students enrolled over the course of 29 years.

Table

While the raw dataset contains lots of specific information, it is hard to sift through its many columns. Below is a table that has been made to be more digestible to the reader by combining certain columns of data together.

Country Average Income (Current USD) Average Population Average Primary Students Average Secondary Students Average Female Employment (Employment:Population (female age 15+)) Average Male Employment (Employment:Population (male age 15+)) Average CO2 Emissions (Metric tons per capita)
United States 35443.5934 292988563.2 24866699.09 24535708.67 54.25976 67.49162 18.7668335
United Kingdom 29695.8097 81783471.9 3336440.19 7863858.42 51.45686 64.48755 8.6745047
Germany 29173.8251 145312593.3 6300313.32 12202867.00 47.35521 62.75255 10.0077367
Australia 27952.0207 25847180.1 3395859.38 2008642.23 52.86183 67.55841 16.7741632
France 27597.0211 62862997.6 4064026.26 5898663.70 44.07145 56.65345 5.8157344
Canada 27452.9253 105758229.8 14650170.93 10134869.74 55.53365 65.97228 16.2550293
New Zealand 20587.8960 6534456.9 593517.89 174507.00 55.67872 69.67538 7.8525738
Trinidad and Tobago 8162.0421 1301275.7 162431.84 100239.00 47.06403 72.39417 24.4207556
Argentina 7299.0900 41971420.8 4879024.19 4115215.44 42.73017 67.10479 4.0506289
Mexico 6071.7346 60987038.5 4566309.41 5370440.66 38.83862 78.45200 4.0855966
Venezuela, RB 5939.6200 27437690.5 3925834.64 2379958.96 42.82741 71.37169 6.3489434
Turkey 5775.8120 67704438.5 6388259.08 7021971.20 25.82472 66.18303 3.5030672
Brazil 5519.6699 7350192.8 1141636.08 555996.46 45.45441 72.44914 1.8877168
Russian Federation 5212.6710 470543.4 79373.95 21009.14 51.16797 64.67103 11.4839522
South Africa 3889.7243 47799352.2 7450077.67 4543342.90 30.78914 48.98600 8.7958784
Dominican Republic 3575.4839 9003738.7 1256906.33 805466.45 38.15617 73.98917 2.0863641
Cuba 3456.1048 11136884.9 903673.25 830083.63 36.78993 65.28155 2.6214347
Colombia 3335.7609 183216830.0 18245755.17 24094869.07 46.31145 74.80890 1.6071200
Jamaica 3314.5712 2713364.4 300872.38 236080.05 48.01721 67.36359 3.4378203
Peru 2943.4224 38714254.8 4919608.25 3794783.71 59.30286 78.51107 1.2984604
Fiji 2937.2080 4106439.3 350967.30 467328.49 37.05510 75.53779 1.1662469
China 2317.4949 1289438392.9 112416740.68 82276024.64 65.05903 77.06503 4.2575076
Guatemala 1980.9712 32274739.8 2318994.35 2568202.95 39.18890 83.42683 0.8028696
Egypt, Arab Rep. 1567.2990 75884896.9 9185029.68 7402791.82 16.51566 67.92445 2.0032967
Indonesia 1399.7777 225523340.9 29538986.79 17236218.07 46.71521 78.84424 1.5060257
Honduras 1283.9467 13097557.3 2083115.22 775975.96 42.48355 83.15465 0.8533423
Nigeria 1115.3110 140709456.6 20149234.26 7699497.65 51.22269 60.73607 0.5454091
Papua New Guinea 983.3821 20615710.9 1933546.00 2360635.62 57.69959 58.97852 0.5860981
Solomon Islands 885.3929 822878.6 111972.18 97326.80 80.91783 83.78607 0.3757343
Pakistan 741.7573 159446862.0 17951283.26 9297347.67 18.04345 81.03621 0.7907704
India 741.1684 1132564205.9 123750290.96 94937446.28 26.01486 76.89052 1.1015140
Bangladesh 608.5477 135813155.0 16630850.62 11708118.25 27.41669 82.11459 0.2806398
Haiti 514.4021 9137952.5 1203846.43 NaN 51.04866 64.92435 0.1847010
Ethiopia 213.7654 76844164.2 8298188.42 2349818.14 69.18817 87.06334 0.0680738
Congo, Dem. Rep. 205.6671 56420915.2 8313774.59 2975326.69 65.16507 67.42121 0.0390857

Our table shows that the average income of a country does not seem to be related to the average population. However, our table does show that average CO2 emission rates increase in relation to average income.

Stacked Bar Chart

This stacked bar chart depicts the percentage of the population in a primary and secondary school based on the country.

This chart shows that many people do not attend secondary school after primary school.

Scatterplot

This scatterplot depicts how the employment to population ratio per country affects CO2 emissions.

This chart shows that CO2 emissions peaks when a country has around 60-65% employment to population ratio.

Diverging Bar Chart

This diverging bar chart depicts a country’s CO2 emission growth rates.

This chart shows that most countries’ CO2 emissions are increasing over time.